Roofstock
Oakland, CA
51-200 employees
The #1 marketplace for buying and selling single-family rental homes.
Prior Listings
Senior Data Engineer – Big Data and Deep Learning group
Senior Data Engineer – Big Data and Deep Learning group
This job is no longer open
Roofstock is the leading marketplace for investing in single-family rental homes. Our mission is to make real estate investing radically accessible, cost effective and simple. We want to use technology to transform the way real estate is bought and sold and make real estate investing as simple as investing in stocks. Simply put, we are passionate about helping our customers build wealth through real estate.
Roofstock has been recognized as a Great Place to Work® and was recently named to the Forbes Fintech 50 and the Red Herring 100 lists of most innovative companies. Roofstock has raised over $135M to date and have offices across the US in Oakland, California, Dallas,Texas and New York, NY with approximately 400 people and is growing rapidly. Check out our reviews and see why our employees love working here!
We've built an amazing culture where everyone has a voice. We're nice. We get things done. We have fun. We believe in work-life balance (yes, you can really take a vacation). And our values are pretty B.A.D.A.S.S.
Be customer obsessed.
Act like an owner, because you are one.
Don't be afraid to break things in the pursuit of better.
All of us are empowered to do the right thing.
Stay curious and create what's next. Fast.
Seriously. No jerks.
In this role you will drive the infrastructure development for advanced machine learning, including deep learning and distributed machine learning models. Your work will support the creation of unique best in class tools in the real estate industry and put Roofstock ahead of the competition. As an early hire in the advanced ML group, you will be responsible for architecting and implementing solutions for existing and future projects. Thus we are looking for someone with a solid background in the fundamentals of computer science, large-scale data processing and machine learning.
What You Will Do:
- Work closely with data scientists and data engineers to productionize, scale, and optimize advanced models such as distributed entity resolution systems and deep learning-based image processing
- Design and implement scalable and reliable data storage and access solutions to support these models
- Build and refactor code into reusable libraries, APIs, and tools for future use
- Contribute to the overall team success by researching and implementing new techniques, conducting code reviews, and developing best practices for the team
What You Bring With You:
- MS or Ph.D. in computer science/engineering or equivalent
- 4+ years of experience in writing production Python code, shell scripts; experience in another relevant language like Scala a plus
- 2+ years of experience building and deploying distributed and ML-related infrastructure using frameworks and libraries such as Keras, PyTorch, Horovod, Ludwig, Ray, MXNet, BytePS
- Strong understanding and 2+ years of experience using multiple state of the art Big Data systems such as Spark, Storm, Flink, S3, Redshift; experience with the Azure ecosystem a plus. You don’t need to be an expert in everything, but should be conversant and excited to learn more
- Strong fundamentals in problem solving, debugging, algorithm design and complexity analysis; ; ability to take a broad challenge and break it down into solvable components
- Familiarity with the machine learning model development process; good understanding of analytics, statistics, and data science algorithms
- Demonstrated commitment to best practices, automation and fault tolerance; deep empathy for users of the data and passion for building an innovative culture
- Demonstrated ability to work independently, prototype rapidly, and meet deadlines
For our regular full-time roles we offer a great benefits package!
Competitive compensation
Medical, Vision and Dental for you (95%) and your dependents (65%)
401k
Flexible time off and sick days
Supplemental bonus to support "work from home" office needs
Equity incentives to give you a stake in the Company’s future
We are an upbeat and collaborative work culture
Virtual company-sponsored outings
Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
This job is no longer open